核反应堆反馈控制中自相似网络诱导延迟的估计、分析与平滑
Estimation, Analysis and Smoothing of Self-Similar Network Induced Delays in Feedback Control of Nuclear Reactors
AI总结：
针对核反应堆反馈控制中网络诱导的随机延迟，分析其自相似性，并利用平滑滤波器减小其对功率信号的影响。
摘要：
本文分析了在共享数据网络中反馈至反应堆调节系统（RRS）时遭受网络诱导随机延迟的核反应堆功率信号。详细研究了共享介质中网络流量引起的随机延迟动态的自相似性。对来自自给能中子探测器（SPND）的测量功率信号中存在的网络诱导延迟的分数性或自相似性进行了估计和分析。由于任何分数阶随机性本质上不同于传统的高斯随机性，这些延迟动态需要在到达RRS内的控制器之前得到有效处理。尝试使用几类平滑滤波器来最小化反应堆功率瞬态数据中随机性的影响。还研究了考虑分数阶噪声的平滑器的性能度量。
英文摘要：
This paper analyzes a nuclear reactor power signal that suffers from network induced random delays in the shared data network while being fed-back to the Reactor Regulating System (RRS). A detailed study is carried out to investigate the self similarity of random delay dynamics due to the network traffic in shared medium. The fractionality or selfsimilarity in the network induced delay that corrupts the measured power signal coming from Self Powered Neutron Detectors (SPND) is estimated and analyzed. As any fractional order randomness is intrinsically different from conventional Gaussian kind of randomness, these delay dynamics need to be handled efficiently, before reaching the controller within the RRS. An attempt has been made to minimize the effect of the randomness in the reactor power transient data with few classes of smoothing filters. The performance measure of the smoothers with fractional order noise consideration is also investigated into.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
